🐻⬇️🏀

Utah Valley

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Utah Valley Wolverines
Program History
Coach: Dick Hunsaker

2014 Team Stats (6 games)

63.5
PPG
71.3
Opp
-7.8
Margin
45.0%
FG%
31.0%
3P%
75.5%
FT%
30.8
RPG
15.0
APG
14.0
TO
-
Est. poss./game
62.2
Adj PPG
65.5
Adj Opp PPG
#216
Scoring Rank

Model Outputs

2013-2014
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 1030 (#149) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1030 (#147) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More → 1034 (#122) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -3.5 (#215) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -3.1 (#218) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.467 (#194) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -5.3 More → 0.353 (#216) AdjNet -5.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -5.4 More → 0.348 (#218) AdjNet -5.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.2 | AdjD 65.5 More → 0.427 (#216) AdjO 62.2 | AdjD 65.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.7 | AdjD 65.1 More → 0.466 (#207) AdjO 63.7 | AdjD 65.1
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.462 (#185) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.470 (#183) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 119 | GP 30 More → 1053 (#132) RD 119 | GP 30

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 vs IU Indianapolis Jaguars W 74 - 66
2013-11-11 vs North Carolina A&T Aggies W 78 - 71
2013-11-12 @ Oklahoma State Cowboys L 40 - 93
2013-11-19 @ Oregon Ducks L 54 - 69
2013-11-23 @ Pepperdine Waves L 53 - 58
2013-11-30 @ Tennessee Tech Golden Eagles L 71 - 74
2013-12-02 @ South Dakota Coyotes L 67 - 71
2013-12-07 vs Saint Katherine SAINT KATHERINE W 89 - 37
2013-12-11 vs Weber State Wildcats W 62 - 59
2013-12-14 @ Utah State Aggies L 60 - 71
2013-12-20 vs Haskell Jayhawks W 103 - 64
2013-12-23 vs North Dakota State Bison L 70 - 74
2013-12-28 vs Tennessee Tech Golden Eagles W 75 - 66
2014-01-04 @ Cal State Bakersfield Roadrunners W 82 - 74
2014-01-11 vs Grand Canyon Lopes W 65 - 58
2014-01-16 @ Idaho Vandals W 71 - 66
2014-01-19 @ Seattle U Redhawks W 52 - 51
2014-01-23 vs Kansas City Roos W 66 - 48
2014-01-25 vs Chicago State Cougars W 62 - 55
2014-01-30 @ UT Rio Grande Valley Vaqueros W 67 - 53
2014-02-01 @ New Mexico State Aggies L 49 - 72
2014-02-06 @ Grand Canyon Lopes W 79 - 68
2014-02-13 vs Seattle U Redhawks L 57 - 71
2014-02-15 vs Idaho Vandals W 89 - 88
2014-02-20 @ Chicago State Cougars W 79 - 70
2014-02-22 @ Kansas City Roos L 56 - 74
2014-02-27 vs New Mexico State Aggies W 66 - 61
2014-03-01 vs UT Rio Grande Valley Vaqueros W 45 - 42
2014-03-07 vs Cal State Bakersfield Roadrunners W 64 - 55
2014-03-13 vs UT Rio Grande Valley Vaqueros W 83 - 63
2014-03-14 vs Idaho Vandals L 69 - 74
2014-03-19 @ California Golden Bears L 64 - 77

2014 Roster

Minutes by Position

The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Holton Hunsaker Holton Hunsaker G 25 33.2 13.3 2.5 4.1 0.9 0.0 2.8 3.2 14.9 -38 28 -1.4 -1.7 29.1 28.3 95.0 -1.72 172.4 37.3
Ben Aird Ben Aird C 25 29.4 11.8 8.4 1.6 0.6 1.4 1.4 2.5 19.8 -16 28 -0.6 -0.8 42.9 20.0 50.0 0.94 204.7 44.4
Mitch Bruneel Mitch Bruneel F 25 32.6 11.2 5.6 1.0 0.8 0.1 1.0 2.6 15.3 -58 28 -2.1 -2.6 64.1 44.4 73.7 -2.37 192.8 70.3
Zach Nelson Zach Nelson F 25 30.6 9.8 6.0 3.4 0.8 1.0 2.5 2.1 16.6 -20 28 -0.7 -1.0 55.8 20.0 61.1 0.07 205.3 58.7
Hayes Garrity Hayes Garrity G 25 21.6 8.6 2.8 1.6 0.4 0.0 1.4 2.5 9.6 -38 28 -1.4 -2.6 44.4 36.0 75.0 -1.63 162.4 51.6
Keawe Enos Keawe Enos G 25 29.3 7.7 2.5 1.8 0.7 0.0 1.3 1.7 9.6 -29 28 -1.0 -1.5 44.2 40.0 100.0 -0.59 205.5 60.5
Cory Cardwell Cory Cardwell G 1 4.0 3.0 0.0 0.0 1.0 0.0 0.0 0.0 4.0 - - - - 0 0 0 - 0 0
Brenden Evans Brenden Evans F 25 10.0 2.6 2.4 0.1 0.2 0.2 0.6 0.6 4.5 -38 28 -1.4 -6.1 50.0 0.0 69.2 -2.3 164.8 50.0
Chad Ross Chad Ross F 25 8.2 1.2 1.6 0.1 0.3 0.1 0.4 0.4 2.4 -25 28 -0.9 -5.0 27.3 0.0 50.0 -2.52 130.5 27.3
Eli Robison Eli Robison G 9 3.4 0.8 0.6 0.1 0.0 0.1 0.3 0.2 1.0 -7 9 -0.8 -16.2 0.0 0.0 0 -2.03 175.0 0.0
Taylor Brown Taylor Brown G 20 6.0 0.7 0.3 0.3 0.1 0.0 0.1 0.3 0.9 24 19 1.3 9.2 50.0 40.0 0 1.1 116.7 66.7

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG